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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Diffusion Bridge AutoEncoders for Unsupervised Representation Learning ICLR 2025 Diffusion Bridge: Leveraging Diffusion Model to Reduce the Modality Gap Between Text and Vision for Zero-Shot Image Captioning CVPR 2025 DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving CVPR 2025 Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection ICCV 2025 Diffusion Feedback Helps CLIP See Better ICLR 2025 DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing ICLR 2025 Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation WACV 2025 Diffusion Model is Effectively Its Own Teacher CVPR 2025 Diffusion Model Patching via Mixture-of-Prompts AAAI 2025 Diffusion Models are Evolutionary Algorithms ICLR 2025 Diffusion On Syntax Trees For Program Synthesis ICLR 2025 Diffusion Self-Distillation for Zero-Shot Customized Image Generation CVPR 2025 DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection WACV 2025 DiMPLe - Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation ICCV 2025 DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels CVPR 2025 Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection CVPR 2025 DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment CVPR 2025 DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation ACL 2025 Diorama: Unleashing Zero-shot Single-view 3D Indoor Scene Modeling ICCV 2025 Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks EMNLP 2025 DIP: Unsupervised Dense In-Context Post-training of Visual Representations ICCV 2025 Directional Label Diffusion Model for Learning from Noisy Labels CVPR 2025 Direct Judgement Preference Optimization EMNLP 2025 Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward NAACL 2025 Direct Prompt Optimization with Continuous Representations ACL 2025